Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about robotics. To know more about it go ahead and check it out.
Don't Forget to Like & Share it! :)
Created By: Ruchit Patel & Mohammed Nagariya

published:26 Jan 2016

views:793

published:20 Jun 2017

views:0

published:03 Jun 2017

views:0

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this episode, Rob and Casey duscuss all things angular motion, including the difference between stepper motors, DC brush motors, and brushless motors, wheels, bearings, and how to connect everything into your project!
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

published:27 Dec 2013

views:60172

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each system might be the best solution for your application.
Robotics 101 is a 9 part SparkFun video series that teaches the basic principles of robotics, and introduces you to the Actobotics product line.
Part 1 - Introduction: http://www.youtube.com/watch?v=d3MBTT10pxk
Part 2 - Angular Motion: http://www.youtube.com/watch?v=Zp1WbEnPaNc
Part 3 - Linear Motion: http://www.youtube.com/watch?v=ySyTBMCptaA
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

published:15 May 2017

views:867614

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics.
Code for this video:
https://github.com/llSourcell/Make_a_neural_network
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Please Subscribe! That is the thing you could do that would make me happiest.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
2 Great Neural Net Tutorials:
(please subscribe for more videos like these! )
1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f
2. https://iamtrask.github.io/2015/07/12/basic-python-network/
Awesome Tutorial Series on Neural Networks:
http://lumiverse.io/series/neural-networks-demystified
The Canonical Machine LearningCourse:
https://www.coursera.org/learn/machine-learning
Curious just how inspired neural networks are from brain architecture? Take some time to learn about the human brain! This is my favorite intro to neuroscience course:
https://www.mcb80x.org/
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/

published:04 Apr 2016

views:392555

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some off the shelf alternatives.
Tags: ConceptTalent: Robert Cowan

published:07 Feb 2014

views:23564

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active researcher in the Open AI project of Elon Musk.
I had the pleasure of talking to Pieter in his robotics labs in Berkeley about the link between artificial intelligence and customer experience. Enjoy the talk

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you enough information to go and write your own simple code. These types of platforms are great for learning since it's so easy to tweak the code and test it out. This is the first video of a series where I'll explain my process for designing a control system.
Errata:
Don't forget to subscribe! I'm on Twitter @BrianBDouglas!
If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to answer them.
I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!

Artificial intelligence

Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. Major AI researchers and textbooks define this field as "the study and design of intelligent agents", in which an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines".

AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.

Gradient descent

Gradient descent is a first-order optimizationalgorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or of the approximate gradient) of the function at the current point. If instead one takes steps proportional to the positive of the gradient, one approaches a local maximum of that function; the procedure is then known as gradient ascent.

Gradient descent is also known as steepest descent, or the method of steepest descent. Gradient descent should not be confused with the method of steepest descent for approximating integrals.

Description

Gradient descent is based on the observation that if the multi-variable function is defined and differentiable in a neighborhood of a point , then decreases fastest if one goes from in the direction of the negative gradient of at , . It follows that, if

for small enough, then . In other words, the term is subtracted from because we want to move against the gradient, namely down toward the minimum. With this observation in mind, one starts with a guess for a local minimum of , and considers the sequence
such that

Business process automation

Business process automation (BPA), is the strategy a business uses to automate processes in order to contain costs. It consists of integrating applications, restructuring labor resources and using software applications throughout the organization.

Delivery

There are Three main techniques for delivering automation of a business process.

Extension of existing IT systems

As most IT systems are inherently automation engines in themselves, a valid option is to extend their functionality to enable the desired automation, creating customized linkages between the disparate application systems where needed. This approach means that the automation can be tailored specifically to the exact environment of the organization; on the down-side, it can be time-consuming to find the necessary skills either internally or in the marketplace.

The boundaries of the concept end with the boundaries of the vision. If vision does not have boundaries the concept does not have boundaries (source?).

Robotics-Demystified

Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about robotics. To know more about it go ahead and check it out.
Don't Forget to Like & Share it! :)
Created By: Ruchit Patel & Mohammed Nagariya

0:40

Robotics Demystified

Robotics Demystified

Robotics Demystified

0:21

Robotics Demystified

Robotics Demystified

Robotics Demystified

10:44

SparkFun Robotics 101: Episode 2 Angular Motion

SparkFun Robotics 101: Episode 2 Angular Motion

SparkFun Robotics 101: Episode 2 Angular Motion

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this episode, Rob and Casey duscuss all things angular motion, including the difference between stepper motors, DC brush motors, and brushless motors, wheels, bearings, and how to connect everything into your project!
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

8:41

SparkFun Robotics 101 - 4 Transfer of Motion

SparkFun Robotics 101 - 4 Transfer of Motion

SparkFun Robotics 101 - 4 Transfer of Motion

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each system might be the best solution for your application.
Robotics 101 is a 9 part SparkFun video series that teaches the basic principles of robotics, and introduces you to the Actobotics product line.
Part 1 - Introduction: http://www.youtube.com/watch?v=d3MBTT10pxk
Part 2 - Angular Motion: http://www.youtube.com/watch?v=Zp1WbEnPaNc
Part 3 - Linear Motion: http://www.youtube.com/watch?v=ySyTBMCptaA
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

3:27

Build a Neural Net in 4 Minutes

Build a Neural Net in 4 Minutes

Build a Neural Net in 4 Minutes

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics.
Code for this video:
https://github.com/llSourcell/Make_a_neural_network
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Please Subscribe! That is the thing you could do that would make me happiest.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
2 Great Neural Net Tutorials:
(please subscribe for more videos like these! )
1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f
2. https://iamtrask.github.io/2015/07/12/basic-python-network/
Awesome Tutorial Series on Neural Networks:
http://lumiverse.io/series/neural-networks-demystified
The Canonical Machine LearningCourse:
https://www.coursera.org/learn/machine-learning
Curious just how inspired neural networks are from brain architecture? Take some time to learn about the human brain! This is my favorite intro to neuroscience course:
https://www.mcb80x.org/
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/

10:00

SparkFun Robotics 101 - 6 Mechanical Structure

SparkFun Robotics 101 - 6 Mechanical Structure

SparkFun Robotics 101 - 6 Mechanical Structure

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some off the shelf alternatives.
Tags: ConceptTalent: Robert Cowan

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active researcher in the Open AI project of Elon Musk.
I had the pleasure of talking to Pieter in his robotics labs in Berkeley about the link between artificial intelligence and customer experience. Enjoy the talk

Robotic Car, Closed Loop Control Example

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you enough information to go and write your own simple code. These types of platforms are great for learning since it's so easy to tweak the code and test it out. This is the first video of a series where I'll explain my process for designing a control system.
Errata:
Don't forget to subscribe! I'm on Twitter @BrianBDouglas!
If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to answer them.
I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!

Microsoft'sSeniorDataScientistBrandonRohrer talks about how to make houses more like robots, and the challenges of realizing the promise of the Internet of Things (IoT). Brandon discusses the areas that hold the most promise for the IoT--things that have sensors & actuators and just needs brains to make them intelligent. He follows deep learning, deep reinforcement learning, and anything related to robots.
Brandon Rohrer interviewed by MacSlocum at Strata + HadoopWorld in San Jose 2016.
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi
Read more about IoT, data science, and deep learning on O'Reilly http://oreil.ly/1Nthf3m
Follow on Twitter twitter.com/oreillymedia

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTSub
You can find the project on GitHub Here: http://bit.ly/2yXcjEy
The circuit board on OSHPark Here: http://bit.ly/2ybEMJr
Arduino Artificial Neural NetworkExample: http://robotics.hobbizine.com/arduinoann.htmlInstrumentals Produced By Chuki
http://www.youtube/user/CHUKImusic

13:49

Robot Singularities (1 of 3)

Robot Singularities (1 of 3)

Robot Singularities (1 of 3)

First of 3 videos on identifying linear velocity singularities in a serial link robot. Shows how to find the singularities by taking the determinant of the velocity Jacobian, how the zeros of the determinant map to problem configurations, and draws the configurations.
https://youtu.be/5MMbMauTHoA Example 1
https://youtu.be/Rp_xWIybKX8 Example 2
https://youtu.be/QxbOoXq2mFQ Example 3
Video made after Houston floods cancelled class. I asked my students if they'd benefit from a review lecture and they asked for these on Robot Singularities

Robotics-Demystified

Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about robotics. To know more about it go ahead and check it out.
Don't Forget to Like & Share it! :)
Created By: Ruchit Patel & Mohammed Nagariya

published: 26 Jan 2016

Robotics Demystified

published: 20 Jun 2017

Robotics Demystified

published: 03 Jun 2017

SparkFun Robotics 101: Episode 2 Angular Motion

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this episode, Rob and Casey duscuss all things angular motion, including the difference between stepper motors, DC brush motors, and brushless motors, wheels, bearings, and how to connect everything into your project!
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

published: 27 Dec 2013

SparkFun Robotics 101 - 4 Transfer of Motion

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each system might be the best solution for your application.
Robotics 101 is a 9 part SparkFun video series that teaches the basic principles of robotics, and introduces you to the Actobotics product line.
Part 1 - Introduction: http://www.youtube.com/watch?v=d3MBTT10pxk
Part 2 - Angular Motion: http://www.youtube.com/watch?v=Zp1WbEnPaNc
Part 3 - Linear Motion: http://www.youtube.com/watch?v=ySyTBMCptaA
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

PID Control - Artificial Intelligence for Robotics

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an...

published: 15 May 2017

Build a Neural Net in 4 Minutes

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics.
Code for this video:
https://github.com/llSourcell/Make_a_neural_network
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Please Subscribe! That is the thing you could do that would make me happiest.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
2 Great Neural Net Tutorials:
(please subscribe for more videos like these! )
1. https://medium.com/technology...

published: 04 Apr 2016

SparkFun Robotics 101 - 6 Mechanical Structure

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some off the shelf alternatives.
Tags: ConceptTalent: Robert Cowan

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active researcher in the Open AI project of Elon Musk.
I had the pleasure of talking to Pieter in his robotics labs in Berkeley about the link between artificial intelligence and customer experience. Enjoy the talk

Robotic Car, Closed Loop Control Example

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you enough information to go and write your own simple code. These types of platforms are great for learning since it's so easy to tweak the code and test it out. This is the first video of a series where I'll explain my process for designing a control system.
Errata:
Don't forget to subscribe! I'm on Twitter @BrianBDouglas!
If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to an...

Robotic Process Automation optimizes your operations

The purpose of the seminar organized by the European Outsourcing Association and Accenture was to learn how RPA (Robotic Process Automation) is growing in companies. For SarahBurnett (Everest Group), RPA is different from artificial intelligence: it does not have its own intelligence, it follows the rules that the user has given it. Its advantage is a very fast gain in time and quality in processes.
But, although this automation of tasks is rapidly profitable, the RPA only gradually penetrates companies. According to MichaelCable (Redwood Robotics), the return on investment of the RPA must take into account the value created by employees freed from repetitive tasks and thus reassigned to richer tasks.
Finally, for Mariska Houwen, who oversees the deployment of RPA at KPN, the most visi...

Microsoft'sSeniorDataScientistBrandonRohrer talks about how to make houses more like robots, and the challenges of realizing the promise of the Internet of Things (IoT). Brandon discusses the areas that hold the most promise for the IoT--things that have sensors & actuators and just needs brains to make them intelligent. He follows deep learning, deep reinforcement learning, and anything related to robots.
Brandon Rohrer interviewed by MacSlocum at Strata + HadoopWorld in San Jose 2016.
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi
Read more about IoT, data science, and deep learning on O'Reilly http://oreil.ly/1Nthf3m
Follow on Twitter twitter.com/oreillymedia

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTS...

published: 13 Nov 2017

Robot Singularities (1 of 3)

First of 3 videos on identifying linear velocity singularities in a serial link robot. Shows how to find the singularities by taking the determinant of the velocity Jacobian, how the zeros of the determinant map to problem configurations, and draws the configurations.
https://youtu.be/5MMbMauTHoA Example 1
https://youtu.be/Rp_xWIybKX8 Example 2
https://youtu.be/QxbOoXq2mFQ Example 3
Video made after Houston floods cancelled class. I asked my students if they'd benefit from a review lecture and they asked for these on Robot Singularities

Robotics-Demystified

Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about roboti...

Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about robotics. To know more about it go ahead and check it out.
Don't Forget to Like & Share it! :)
Created By: Ruchit Patel & Mohammed Nagariya

Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about robotics. To know more about it go ahead and check it out.
Don't Forget to Like & Share it! :)
Created By: Ruchit Patel & Mohammed Nagariya

SparkFun Robotics 101: Episode 2 Angular Motion

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this e...

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this episode, Rob and Casey duscuss all things angular motion, including the difference between stepper motors, DC brush motors, and brushless motors, wheels, bearings, and how to connect everything into your project!
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this episode, Rob and Casey duscuss all things angular motion, including the difference between stepper motors, DC brush motors, and brushless motors, wheels, bearings, and how to connect everything into your project!
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

SparkFun Robotics 101 - 4 Transfer of Motion

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each s...

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each system might be the best solution for your application.
Robotics 101 is a 9 part SparkFun video series that teaches the basic principles of robotics, and introduces you to the Actobotics product line.
Part 1 - Introduction: http://www.youtube.com/watch?v=d3MBTT10pxk
Part 2 - Angular Motion: http://www.youtube.com/watch?v=Zp1WbEnPaNc
Part 3 - Linear Motion: http://www.youtube.com/watch?v=ySyTBMCptaA
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each system might be the best solution for your application.
Robotics 101 is a 9 part SparkFun video series that teaches the basic principles of robotics, and introduces you to the Actobotics product line.
Part 1 - Introduction: http://www.youtube.com/watch?v=d3MBTT10pxk
Part 2 - Angular Motion: http://www.youtube.com/watch?v=Zp1WbEnPaNc
Part 3 - Linear Motion: http://www.youtube.com/watch?v=ySyTBMCptaA
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain t...

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Build a Neural Net in 4 Minutes

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work!...

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics.
Code for this video:
https://github.com/llSourcell/Make_a_neural_network
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Please Subscribe! That is the thing you could do that would make me happiest.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
2 Great Neural Net Tutorials:
(please subscribe for more videos like these! )
1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f
2. https://iamtrask.github.io/2015/07/12/basic-python-network/
Awesome Tutorial Series on Neural Networks:
http://lumiverse.io/series/neural-networks-demystified
The Canonical Machine LearningCourse:
https://www.coursera.org/learn/machine-learning
Curious just how inspired neural networks are from brain architecture? Take some time to learn about the human brain! This is my favorite intro to neuroscience course:
https://www.mcb80x.org/
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics.
Code for this video:
https://github.com/llSourcell/Make_a_neural_network
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Please Subscribe! That is the thing you could do that would make me happiest.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
2 Great Neural Net Tutorials:
(please subscribe for more videos like these! )
1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f
2. https://iamtrask.github.io/2015/07/12/basic-python-network/
Awesome Tutorial Series on Neural Networks:
http://lumiverse.io/series/neural-networks-demystified
The Canonical Machine LearningCourse:
https://www.coursera.org/learn/machine-learning
Curious just how inspired neural networks are from brain architecture? Take some time to learn about the human brain! This is my favorite intro to neuroscience course:
https://www.mcb80x.org/
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/

SparkFun Robotics 101 - 6 Mechanical Structure

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some o...

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some off the shelf alternatives.
Tags: ConceptTalent: Robert Cowan

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some off the shelf alternatives.
Tags: ConceptTalent: Robert Cowan

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active research...

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active researcher in the Open AI project of Elon Musk.
I had the pleasure of talking to Pieter in his robotics labs in Berkeley about the link between artificial intelligence and customer experience. Enjoy the talk

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active researcher in the Open AI project of Elon Musk.
I had the pleasure of talking to Pieter in his robotics labs in Berkeley about the link between artificial intelligence and customer experience. Enjoy the talk

Robotic Car, Closed Loop Control Example

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briand...

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you enough information to go and write your own simple code. These types of platforms are great for learning since it's so easy to tweak the code and test it out. This is the first video of a series where I'll explain my process for designing a control system.
Errata:
Don't forget to subscribe! I'm on Twitter @BrianBDouglas!
If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to answer them.
I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you enough information to go and write your own simple code. These types of platforms are great for learning since it's so easy to tweak the code and test it out. This is the first video of a series where I'll explain my process for designing a control system.
Errata:
Don't forget to subscribe! I'm on Twitter @BrianBDouglas!
If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to answer them.
I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!

Microsoft'sSeniorDataScientistBrandonRohrer talks about how to make houses more like robots, and the challenges of realizing the promise of the Internet of Things (IoT). Brandon discusses the areas that hold the most promise for the IoT--things that have sensors & actuators and just needs brains to make them intelligent. He follows deep learning, deep reinforcement learning, and anything related to robots.
Brandon Rohrer interviewed by MacSlocum at Strata + HadoopWorld in San Jose 2016.
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi
Read more about IoT, data science, and deep learning on O'Reilly http://oreil.ly/1Nthf3m
Follow on Twitter twitter.com/oreillymedia

Microsoft'sSeniorDataScientistBrandonRohrer talks about how to make houses more like robots, and the challenges of realizing the promise of the Internet of Things (IoT). Brandon discusses the areas that hold the most promise for the IoT--things that have sensors & actuators and just needs brains to make them intelligent. He follows deep learning, deep reinforcement learning, and anything related to robots.
Brandon Rohrer interviewed by MacSlocum at Strata + HadoopWorld in San Jose 2016.
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi
Read more about IoT, data science, and deep learning on O'Reilly http://oreil.ly/1Nthf3m
Follow on Twitter twitter.com/oreillymedia

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 i...

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTSub
You can find the project on GitHub Here: http://bit.ly/2yXcjEy
The circuit board on OSHPark Here: http://bit.ly/2ybEMJr
Arduino Artificial Neural NetworkExample: http://robotics.hobbizine.com/arduinoann.htmlInstrumentals Produced By Chuki
http://www.youtube/user/CHUKImusic

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTSub
You can find the project on GitHub Here: http://bit.ly/2yXcjEy
The circuit board on OSHPark Here: http://bit.ly/2ybEMJr
Arduino Artificial Neural NetworkExample: http://robotics.hobbizine.com/arduinoann.htmlInstrumentals Produced By Chuki
http://www.youtube/user/CHUKImusic

Robot Singularities (1 of 3)

First of 3 videos on identifying linear velocity singularities in a serial link robot. Shows how to find the singularities by taking the determinant of the velo...

First of 3 videos on identifying linear velocity singularities in a serial link robot. Shows how to find the singularities by taking the determinant of the velocity Jacobian, how the zeros of the determinant map to problem configurations, and draws the configurations.
https://youtu.be/5MMbMauTHoA Example 1
https://youtu.be/Rp_xWIybKX8 Example 2
https://youtu.be/QxbOoXq2mFQ Example 3
Video made after Houston floods cancelled class. I asked my students if they'd benefit from a review lecture and they asked for these on Robot Singularities

First of 3 videos on identifying linear velocity singularities in a serial link robot. Shows how to find the singularities by taking the determinant of the velocity Jacobian, how the zeros of the determinant map to problem configurations, and draws the configurations.
https://youtu.be/5MMbMauTHoA Example 1
https://youtu.be/Rp_xWIybKX8 Example 2
https://youtu.be/QxbOoXq2mFQ Example 3
Video made after Houston floods cancelled class. I asked my students if they'd benefit from a review lecture and they asked for these on Robot Singularities

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an...

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTS...

published: 13 Nov 2017

Deep Learning for Decision Making and Control

A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing algorithms that aim to bring this ability to robots and simulated characters. Levine will describe a class of guided policy search algorithms that tackle this challenge by transforming the task of learning control policies into a supervised learning problem, with supervision provided by simple, efficient trajectory-centric methods.
Sergey Levine is a postdoctoral researcher working with Professor Pieter Abbeel at UC Berkeley
03/10/2015
https://www.cs.washington.edu/htbin-post/mvis/mvis?ID=2686
http://uwtv.org

Deep Dive Into Computer Vision

Computer vision is the process of making computers detect and classify scenes, objects, and people. The presenter discusses different techniques, where things are now, and what’s to come.
EVENT: DataScience Festival
SPEAKER: Nigel Markey
PERMISSIONS: The original video was published on Meetupvideo UK
YouTube channel with the Creative Commons Attribution license (reuse allowed).
ORIGINAL SOURCE: https://www.youtube.com/watch?v=d31oY9UPnqI

Dr Robert Duncan Lecture 2 Intelligent Systems of Control

Evolving Neural Networks NEAT With 3D Cars + Tutorial

Tutorial starts at 16:12!!!
This project is on an agent problem solver program that I made in Unity. This application can take a given agent problem the user wants to solve and use NEAT (Neuro-evolution of augmenting topologies) to find a solution to it.
NEAT Paper by Kenneth O. Stanley and Risto Miikkulainen: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
Full Unity ProjectLink : https://drive.google.com/drive/folders/0B26krjpa9ytcdlZ5bHFMSGpOdjQ?usp=sharing
Music:
Tobaggan by Silent Partner (YouTube AudioLibrary) Hip Hop & Rap | Dark · Free music for YouTube creators The-Audio-Library

Development of Speech Perception and Vocalization of Robots

One of the big issues of human cognitive development is language acquisition process, and constructive approaches have been attacking the issue to understand this process by building vocal robots. This talk gives a survey on these approaches. First, cognitive developmental robotics is briefly introduced to show a general idea of these approaches. Then, learning of vowel vocalization by parrot-like teaching is shown as one of the model of the interaction between an infant and a caregiver. Next, caregiver's anticipation during the interaction process is analyzed, and as a result, it is shown how caregiver shapes the infant vowels. Finally, future issues are discussed towards language acquisition by cognitive developmental robotics.

Is Life Quantum Mechanical? - Prof. Jim Al-Khalili

How to Visually Tune PID Control Loops

This video shows how I tuned the PID control loop of a balancing robot. The behavior of the robot is shown, and perhaps more importantly, I also show live graphs of the error, set point, proportional component, integral component and derivative component. Finally the source code is shown and explained.
The video starts with a brief demo of how the robot performs with a tuned PID control loop. The balancing robot does not have any wheel encoders or other position feedback, so the only control loop inputs are the pitch of the robot and the throttle input from the user. Because of that, the robot can drift a little if it picks up speed, but even so, with a properly tuned PID control loop it performs fairly well.
I then show a proportional-only control loop and we see how it performs when th...

published: 18 Dec 2016

PID For Robot Control Part 1

PID feedback loop lecture given by me, Ted Sommers, at club meeting of AtlantaHobbyRobotClub on April 20, 2013. Part 1. Pseudocode is used so the technique can be applied to any controller's language you chose.

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain t...

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 i...

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTSub
You can find the project on GitHub Here: http://bit.ly/2yXcjEy
The circuit board on OSHPark Here: http://bit.ly/2ybEMJr
Arduino Artificial Neural NetworkExample: http://robotics.hobbizine.com/arduinoann.htmlInstrumentals Produced By Chuki
http://www.youtube/user/CHUKImusic

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTSub
You can find the project on GitHub Here: http://bit.ly/2yXcjEy
The circuit board on OSHPark Here: http://bit.ly/2ybEMJr
Arduino Artificial Neural NetworkExample: http://robotics.hobbizine.com/arduinoann.htmlInstrumentals Produced By Chuki
http://www.youtube/user/CHUKImusic

Deep Learning for Decision Making and Control

A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing algorithms...

A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing algorithms that aim to bring this ability to robots and simulated characters. Levine will describe a class of guided policy search algorithms that tackle this challenge by transforming the task of learning control policies into a supervised learning problem, with supervision provided by simple, efficient trajectory-centric methods.
Sergey Levine is a postdoctoral researcher working with Professor Pieter Abbeel at UC Berkeley
03/10/2015
https://www.cs.washington.edu/htbin-post/mvis/mvis?ID=2686
http://uwtv.org

A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing algorithms that aim to bring this ability to robots and simulated characters. Levine will describe a class of guided policy search algorithms that tackle this challenge by transforming the task of learning control policies into a supervised learning problem, with supervision provided by simple, efficient trajectory-centric methods.
Sergey Levine is a postdoctoral researcher working with Professor Pieter Abbeel at UC Berkeley
03/10/2015
https://www.cs.washington.edu/htbin-post/mvis/mvis?ID=2686
http://uwtv.org

Deep Dive Into Computer Vision

Computer vision is the process of making computers detect and classify scenes, objects, and people. The presenter discusses different techniques, where things a...

Computer vision is the process of making computers detect and classify scenes, objects, and people. The presenter discusses different techniques, where things are now, and what’s to come.
EVENT: DataScience Festival
SPEAKER: Nigel Markey
PERMISSIONS: The original video was published on Meetupvideo UK
YouTube channel with the Creative Commons Attribution license (reuse allowed).
ORIGINAL SOURCE: https://www.youtube.com/watch?v=d31oY9UPnqI

Computer vision is the process of making computers detect and classify scenes, objects, and people. The presenter discusses different techniques, where things are now, and what’s to come.
EVENT: DataScience Festival
SPEAKER: Nigel Markey
PERMISSIONS: The original video was published on Meetupvideo UK
YouTube channel with the Creative Commons Attribution license (reuse allowed).
ORIGINAL SOURCE: https://www.youtube.com/watch?v=d31oY9UPnqI

Evolving Neural Networks NEAT With 3D Cars + Tutorial

Tutorial starts at 16:12!!!
This project is on an agent problem solver program that I made in Unity. This application can take a given agent problem the user wa...

Tutorial starts at 16:12!!!
This project is on an agent problem solver program that I made in Unity. This application can take a given agent problem the user wants to solve and use NEAT (Neuro-evolution of augmenting topologies) to find a solution to it.
NEAT Paper by Kenneth O. Stanley and Risto Miikkulainen: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
Full Unity ProjectLink : https://drive.google.com/drive/folders/0B26krjpa9ytcdlZ5bHFMSGpOdjQ?usp=sharing
Music:
Tobaggan by Silent Partner (YouTube AudioLibrary) Hip Hop & Rap | Dark · Free music for YouTube creators The-Audio-Library

Tutorial starts at 16:12!!!
This project is on an agent problem solver program that I made in Unity. This application can take a given agent problem the user wants to solve and use NEAT (Neuro-evolution of augmenting topologies) to find a solution to it.
NEAT Paper by Kenneth O. Stanley and Risto Miikkulainen: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
Full Unity ProjectLink : https://drive.google.com/drive/folders/0B26krjpa9ytcdlZ5bHFMSGpOdjQ?usp=sharing
Music:
Tobaggan by Silent Partner (YouTube AudioLibrary) Hip Hop & Rap | Dark · Free music for YouTube creators The-Audio-Library

Development of Speech Perception and Vocalization of Robots

One of the big issues of human cognitive development is language acquisition process, and constructive approaches have been attacking the issue to understand th...

One of the big issues of human cognitive development is language acquisition process, and constructive approaches have been attacking the issue to understand this process by building vocal robots. This talk gives a survey on these approaches. First, cognitive developmental robotics is briefly introduced to show a general idea of these approaches. Then, learning of vowel vocalization by parrot-like teaching is shown as one of the model of the interaction between an infant and a caregiver. Next, caregiver's anticipation during the interaction process is analyzed, and as a result, it is shown how caregiver shapes the infant vowels. Finally, future issues are discussed towards language acquisition by cognitive developmental robotics.

One of the big issues of human cognitive development is language acquisition process, and constructive approaches have been attacking the issue to understand this process by building vocal robots. This talk gives a survey on these approaches. First, cognitive developmental robotics is briefly introduced to show a general idea of these approaches. Then, learning of vowel vocalization by parrot-like teaching is shown as one of the model of the interaction between an infant and a caregiver. Next, caregiver's anticipation during the interaction process is analyzed, and as a result, it is shown how caregiver shapes the infant vowels. Finally, future issues are discussed towards language acquisition by cognitive developmental robotics.

How to Visually Tune PID Control Loops

This video shows how I tuned the PID control loop of a balancing robot. The behavior of the robot is shown, and perhaps more importantly, I also show live graph...

This video shows how I tuned the PID control loop of a balancing robot. The behavior of the robot is shown, and perhaps more importantly, I also show live graphs of the error, set point, proportional component, integral component and derivative component. Finally the source code is shown and explained.
The video starts with a brief demo of how the robot performs with a tuned PID control loop. The balancing robot does not have any wheel encoders or other position feedback, so the only control loop inputs are the pitch of the robot and the throttle input from the user. Because of that, the robot can drift a little if it picks up speed, but even so, with a properly tuned PID control loop it performs fairly well.
I then show a proportional-only control loop and we see how it performs when the gain is too low or too high.
Next I add the integral part, forming a PI control loop. Again, I show how it looks when the gain is set too low or too high.
Then I add the derivative part, forming the PID control loop. The derivative part helps to dampen oscillations and really brings everything together. Like before, I also show how it behaves when the gain is too low or too high.
Finally I show the source code written for an STM32F0 microcontroller, and explain how it works.
The source code is available here:
https://github.com/farrellf/Balancing_Robot_Firmware/tree/e6681bd67639bed7cd1b115c7f6c5bafada79cbc
This video is part of a series showing how to build a balancing robot:
Part 1: Modify RC Servos for Continuous Rotation and External H-Bridge Control
https://www.youtube.com/watch?v=cQuLKN0oYms
Part 2: Building a Robot Chassis with BrassSquareTube, a Dremel, and Solder
https://www.youtube.com/watch?v=XhtnTBbiJTI
Part 3: First Steps with a GY-86 10DOF Sensor: MPU6050, HMC5883L and MS5611
https://www.youtube.com/watch?v=hvjNaIlHPV0
Part 4: 6DOF & 9DOF Sensor Fusion with Madgwick's Filter, MPU6050, HMC5883L (GY-86 Module)
https://www.youtube.com/watch?v=WqQ3HZCI3nA
Part 5: How to Use CC2500 PA LNA 2.4GHz Wireless RF Modules
https://www.youtube.com/watch?v=OY45ZNGy0Sk
Part 6: GPU-Accelerated Data Logging and Telemetry
https://www.youtube.com/watch?v=yYyW16FYqE0
Part 7: [THIS VIDEO] How to TunePID Control Loops Visually
https://www.youtube.com/watch?v=-bQdrvSLqpg

This video shows how I tuned the PID control loop of a balancing robot. The behavior of the robot is shown, and perhaps more importantly, I also show live graphs of the error, set point, proportional component, integral component and derivative component. Finally the source code is shown and explained.
The video starts with a brief demo of how the robot performs with a tuned PID control loop. The balancing robot does not have any wheel encoders or other position feedback, so the only control loop inputs are the pitch of the robot and the throttle input from the user. Because of that, the robot can drift a little if it picks up speed, but even so, with a properly tuned PID control loop it performs fairly well.
I then show a proportional-only control loop and we see how it performs when the gain is too low or too high.
Next I add the integral part, forming a PI control loop. Again, I show how it looks when the gain is set too low or too high.
Then I add the derivative part, forming the PID control loop. The derivative part helps to dampen oscillations and really brings everything together. Like before, I also show how it behaves when the gain is too low or too high.
Finally I show the source code written for an STM32F0 microcontroller, and explain how it works.
The source code is available here:
https://github.com/farrellf/Balancing_Robot_Firmware/tree/e6681bd67639bed7cd1b115c7f6c5bafada79cbc
This video is part of a series showing how to build a balancing robot:
Part 1: Modify RC Servos for Continuous Rotation and External H-Bridge Control
https://www.youtube.com/watch?v=cQuLKN0oYms
Part 2: Building a Robot Chassis with BrassSquareTube, a Dremel, and Solder
https://www.youtube.com/watch?v=XhtnTBbiJTI
Part 3: First Steps with a GY-86 10DOF Sensor: MPU6050, HMC5883L and MS5611
https://www.youtube.com/watch?v=hvjNaIlHPV0
Part 4: 6DOF & 9DOF Sensor Fusion with Madgwick's Filter, MPU6050, HMC5883L (GY-86 Module)
https://www.youtube.com/watch?v=WqQ3HZCI3nA
Part 5: How to Use CC2500 PA LNA 2.4GHz Wireless RF Modules
https://www.youtube.com/watch?v=OY45ZNGy0Sk
Part 6: GPU-Accelerated Data Logging and Telemetry
https://www.youtube.com/watch?v=yYyW16FYqE0
Part 7: [THIS VIDEO] How to TunePID Control Loops Visually
https://www.youtube.com/watch?v=-bQdrvSLqpg

PID feedback loop lecture given by me, Ted Sommers, at club meeting of AtlantaHobbyRobotClub on April 20, 2013. Part 1. Pseudocode is used so the technique can be applied to any controller's language you chose.

PID feedback loop lecture given by me, Ted Sommers, at club meeting of AtlantaHobbyRobotClub on April 20, 2013. Part 1. Pseudocode is used so the technique can be applied to any controller's language you chose.

Robotics-Demystified

Hello Viewers,
This video is all about Robotics-Rise of everyday robot. The video shows a brief conversation between a manager and a client talking about robotics. To know more about it go ahead and check it out.
Don't Forget to Like & Share it! :)
Created By: Ruchit Patel & Mohammed Nagariya

SparkFun Robotics 101: Episode 2 Angular Motion

This is part 2 of a 9 part video series from SparkFun where we'll be taking you through the basics of how Robots work and how you can build your own!
In this episode, Rob and Casey duscuss all things angular motion, including the difference between stepper motors, DC brush motors, and brushless motors, wheels, bearings, and how to connect everything into your project!
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

8:41

SparkFun Robotics 101 - 4 Transfer of Motion

In this installment Rob and Casey discuss the advantages and disadvantages to using gears,...

SparkFun Robotics 101 - 4 Transfer of Motion

In this installment Rob and Casey discuss the advantages and disadvantages to using gears, pulleys, and chains in your robotics projects, and explain why each system might be the best solution for your application.
Robotics 101 is a 9 part SparkFun video series that teaches the basic principles of robotics, and introduces you to the Actobotics product line.
Part 1 - Introduction: http://www.youtube.com/watch?v=d3MBTT10pxk
Part 2 - Angular Motion: http://www.youtube.com/watch?v=Zp1WbEnPaNc
Part 3 - Linear Motion: http://www.youtube.com/watch?v=ySyTBMCptaA
Tags: ConceptTalent: Robert Cowan, Casey Kuhns

1:15

PID Control - Artificial Intelligence for Robotics

This video is part of an online course, Intro to Artificial Intelligence. Check out the co...

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

3:27

Build a Neural Net in 4 Minutes

How does a Neural network work? Its the basis of deep learning and the reason why image re...

Build a Neural Net in 4 Minutes

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics.
Code for this video:
https://github.com/llSourcell/Make_a_neural_network
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Please Subscribe! That is the thing you could do that would make me happiest.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
2 Great Neural Net Tutorials:
(please subscribe for more videos like these! )
1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f
2. https://iamtrask.github.io/2015/07/12/basic-python-network/
Awesome Tutorial Series on Neural Networks:
http://lumiverse.io/series/neural-networks-demystified
The Canonical Machine LearningCourse:
https://www.coursera.org/learn/machine-learning
Curious just how inspired neural networks are from brain architecture? Take some time to learn about the human brain! This is my favorite intro to neuroscience course:
https://www.mcb80x.org/
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/

10:00

SparkFun Robotics 101 - 6 Mechanical Structure

In this episode, Rob describes a few of the more popular materials for building your robot...

SparkFun Robotics 101 - 6 Mechanical Structure

In this episode, Rob describes a few of the more popular materials for building your robot, goes over the pros and cons of each, and offers solutions for some off the shelf alternatives.
Tags: ConceptTalent: Robert Cowan

Pieter Abbeel is one of the leading voices in the world of AI. He is a professor in UC Berkeley, he started his own company GradeScope and is an active researcher in the Open AI project of Elon Musk.
I had the pleasure of talking to Pieter in his robotics labs in Berkeley about the link between artificial intelligence and customer experience. Enjoy the talk

Robotic Car, Closed Loop Control Example

I'm writing a book on the fundamentals of control theory!
Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you enough information to go and write your own simple code. These types of platforms are great for learning since it's so easy to tweak the code and test it out. This is the first video of a series where I'll explain my process for designing a control system.
Errata:
Don't forget to subscribe! I'm on Twitter @BrianBDouglas!
If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to answer them.
I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!

Blockchain: Massively Simplified | Richie Etwaru | TEDxMorristown

Richie Etwaru, discusses the opportunity and implications of blockchain as a paradigm to slow/chose the expanding trust gap in commerce. He unpacks blockchain to a level of simplicity to be consumed by those that are just starting to understand and explore the paradigm. He lays out a current state of commerce, suggesting that every company is currently at risk of being disrupted or incurring severe strain from a blockchain version of itself.
Professionally, Richie Etwaru is a c-level at a Fortune 500Company, an author, the owner of international patents, the founder of multiple ventures, an experienced keynote speaker, an angel investor, a member of advisory boards, and a recognized thought leader in the area of digital, technology, and design.
Specific to this TEDx talk, Richie is an adjunct professor of blockchain management at Syracuse University in New York, he has delivered over 100 blockchain keynotes across the world, he has written well read blockchain blogs, he has been interviewed on blockchain in online TV shows, and has advised governments and venture funds on blockchain opportunities.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

This is the final part of a 3 part series where Sean Hodgins is designing an open source Arduino based robot that will navigate using a neural network. Part 1 involved taking components to make a prototype for testing. Part 2 took the custom circuit board and populated it with components, adding some test firmware to make sure everything worked. Finally, in this video, Sean will discuss different methods of making the robot navigate using the photoresistors, and how the neural network works for navigation. By the end of this series you will be able to create your own neural network robot using the resources provided.
Watch Part 1 Here: https://www.youtube.com/watch?v=0D5lcNIEa24
Watch Part 2 Here: https://www.youtube.com/watch?v=fCmMrSfEsuU
Check out Sean's Channel: http://bit.ly/SeanYTSub
You can find the project on GitHub Here: http://bit.ly/2yXcjEy
The circuit board on OSHPark Here: http://bit.ly/2ybEMJr
Arduino Artificial Neural NetworkExample: http://robotics.hobbizine.com/arduinoann.htmlInstrumentals Produced By Chuki
http://www.youtube/user/CHUKImusic

56:03

Deep Learning for Decision Making and Control

A remarkable feature of human and animal intelligence is the ability to autonomously acqui...

Deep Learning for Decision Making and Control

A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing algorithms that aim to bring this ability to robots and simulated characters. Levine will describe a class of guided policy search algorithms that tackle this challenge by transforming the task of learning control policies into a supervised learning problem, with supervision provided by simple, efficient trajectory-centric methods.
Sergey Levine is a postdoctoral researcher working with Professor Pieter Abbeel at UC Berkeley
03/10/2015
https://www.cs.washington.edu/htbin-post/mvis/mvis?ID=2686
http://uwtv.org

Deep Dive Into Computer Vision

Computer vision is the process of making computers detect and classify scenes, objects, and people. The presenter discusses different techniques, where things are now, and what’s to come.
EVENT: DataScience Festival
SPEAKER: Nigel Markey
PERMISSIONS: The original video was published on Meetupvideo UK
YouTube channel with the Creative Commons Attribution license (reuse allowed).
ORIGINAL SOURCE: https://www.youtube.com/watch?v=d31oY9UPnqI

Evolving Neural Networks NEAT With 3D Cars + Tutorial

Tutorial starts at 16:12!!!
This project is on an agent problem solver program that I made in Unity. This application can take a given agent problem the user wants to solve and use NEAT (Neuro-evolution of augmenting topologies) to find a solution to it.
NEAT Paper by Kenneth O. Stanley and Risto Miikkulainen: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
Full Unity ProjectLink : https://drive.google.com/drive/folders/0B26krjpa9ytcdlZ5bHFMSGpOdjQ?usp=sharing
Music:
Tobaggan by Silent Partner (YouTube AudioLibrary) Hip Hop & Rap | Dark · Free music for YouTube creators The-Audio-Library

Development of Speech Perception and Vocalization of Robots

One of the big issues of human cognitive development is language acquisition process, and constructive approaches have been attacking the issue to understand this process by building vocal robots. This talk gives a survey on these approaches. First, cognitive developmental robotics is briefly introduced to show a general idea of these approaches. Then, learning of vowel vocalization by parrot-like teaching is shown as one of the model of the interaction between an infant and a caregiver. Next, caregiver's anticipation during the interaction process is analyzed, and as a result, it is shown how caregiver shapes the infant vowels. Finally, future issues are discussed towards language acquisition by cognitive developmental robotics.

22:19

Deep Learning Demystified - Brandon Rohrer

An explanation for deep neural networks with no fancy math, no computer jargon by Brandon ...

John Leonard (MIT), Larry Jackel (nVidia) - End to...

Machine Learning Lecture 1 : Linear Regression and...

Gizmodo reported on Wednesday that a former Google engineer is suing the company for discrimination, harassment, retaliation, and wrongful termination ...Chevalier's posts had been quoting in Damore's lawsuit against Google, who is also suing the company for alleged discrimination against conservative white men ... “Firing the employee who pushed back against the bullies was exactly the wrong step to take.” ... But the effect is the same....

OSLO. Sea levels will rise between 0.7 and 1.2 metres in the next two centuries even if governments end the fossil fuel era as promised under the Paris climate agreement, scientists said on Tuesday ...Ocean levels will rise inexorably because heat-trapping industrial gases already em­­itted will linger in the atmosphere, melting more ice, it said. In addition, water naturally expands as it warms above four degrees Celsius (39.2F) ... ....

The woman tasked with caring for accused Florida shooter Nikolas Cruz and his brother have moved quickly to file court papers seeking control of their inheritance the day after the massacre at Majory Stoneman Douglas High School, Newsweek reported. When the mother of Nikolas and Zachary Cruz died from flu-related pneumonia last November, their lives were entrusted to Roxanne Deschamps, the report said....

Special CounselRobert Mueller's probe is prepared to accept a guilty plea from the London-based son-in-law of a Russian businessman after he made false statements during the investigation into alleged Russian interference in the 2016 U.S. presidential election, according to the Washington Post... Tymoshenko was later imprisoned by former president Viktor Yanukovych after signing a controversial deal with Russia for natural gas ... U.S ... U.S....

Article by WN.Com Correspondent Dallas DarlingTo this day it’s something my aunt hardly mentions, let alone discusses. And like a few other families living in the United States, it’s taboo and completely off limits ... Neither was it as widespread, since Japan had nearly conquered most of East Asia including parts of China. But still, U.S ... authorities continued the comfort station system absent formal slavery ... The U.S ... military authorities ... ....

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Among thematic exchange-traded funds, two of the most popular focus on the artificial intelligence and robotics investment themes. At least one ETF issuer thinks there's room for another artificial intelligence and robotics fund. Illinois-based First Trust on Thursday plans to launch the First Trust NasdaqArtificial Intelligence and Robotics ETF ... BOTZ tracks the Indxx GlobalRobotics & Artificial Intelligence Thematic Index....

Boston Dynamics' well-mannered four-legged machine SpotMini has already proved that it can easily open a door and walk through unchallenged, but now the former Google turned SoftBank robotics firm is teaching its robo-canines to fight back ... operation of the robot."...

The Robotic Modeling Assistant is a new system that combines augmented reality with robotic modeling, allowing users to design primitive 3D models on one side of a platform while the robotic arm fabricates the object on the other. The post Robotic3D printer uses augmented reality to fabricate designs as they’re created appeared first on Digital Trends... ....

Evart High School students (from left) ScottWhitman and NathanWoods work on their robot in one of the final days before “bag day,” when the robot has to be bagged and cannot be worked on again until their first competition of the season ...Teams will unbag their robots at their first competition of the season, many of which will take place throughout March ... At the end of each match, robots ascend to a platform....

The THE400 model is a THL series SCARArobot combining high cost performance with easy operation ... For more than 30 years, ToshibaMachine has provided industrial robots in a wide range of variations being used by numerous customers around the world ... Toshiba Machine is leveraging its quick product supply and extensive support system for delivering product automation solutions using industrial robots....

Earlier this week BOC – which is fully owned by German-based Linde, the world's largest maker of industrial gases – announced an upgrade of its Wetherill Park facility, investing $20 million in Australian first speciality gas production and $15 million in an automated, robotic warehouse management system....

As we have stated in prior calls, we have seen tremendous enthusiasms by surgeons for our ExcelsiusGPS robotics and navigation system. As a reminder, this is the only Robotic technology that combines robotics and navigation on a single platform and supports three different imaging modalities, Preop CT, Interop CT and Peroscopy ... spine sales force building the Robotic commercial teams and the expansion of our Japanese sales force....

(AP) — A Chinese national who is described as an expert in robotics has been charged with defrauding Michigan State University with false expense claims ...State's Robotics and Automation Laboratory....

That’s the company which has been busy perfecting autonomous robots for a number of years now and they’re really making some major advances ... For now, they’re still dealing with their latest robotic dog named SpotMini ... ....